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πŸ¦€ ClawHub

Ml Pipeline Starter

by @sunshine-del-ux

Build and deploy production ML pipelines with data processing, model training, evaluation, and deployment using TensorFlow, PyTorch, or Scikit-learn.

Versionv1.0.0
Downloads502
Installs1
TERMINAL
clawhub install ml-pipeline-starter

πŸ“– About This Skill

ML Pipeline Starter

Build production ML pipelines.

Features

Data Processing

  • Data validation
  • Feature engineering
  • Data augmentation
  • Model Training

  • Hyperparameter tuning
  • Cross-validation
  • Model versioning
  • Evaluation

  • Metrics tracking
  • Bias detection
  • Performance monitoring
  • Deployment

  • Model serving
  • A/B testing
  • Rollback support
  • Quick Start

    # Create pipeline
    ./ml-pipeline.sh create my-model

    Train

    ./ml-pipeline.sh train my-model

    Deploy

    ./ml-pipeline.sh deploy my-model production

    Frameworks

  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Requirements

  • Python 3.8+
  • Docker
  • Author

    Sunshine-del-ux

    πŸ’‘ Examples

    # Create pipeline
    ./ml-pipeline.sh create my-model

    Train

    ./ml-pipeline.sh train my-model

    Deploy

    ./ml-pipeline.sh deploy my-model production